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Cisco AI Solutions Engineering Manager Cloud / Infrastructure 
United States, Georgia, Atlanta 
923470965

27.01.2025

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Who You Are

An experienced leader who is curious and a problem solver. You love to learn and grow and lead a diverse team in an environment that is constantly evolving. You have the aptitude to learn information quickly and use resources to research and resolve issues. You are willing and able to work with multi-disciplinary, multicultural, and geographically dispersed teams. You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc. In addition, you’ll play a crucial role in shaping, creating, and championing AI solutions while tackling complex challenges head-on. You will travel as needed to meet with the product business unit, customers, partners, and attend industry events.

Minimum Experience:

  • 5+ years of leadership experience managing a high-performance pre-sales engineering team
  • 5+ years of technical presales experience, preferably selling Compute, Storage, and/or DC Networking solutions
  • Proven track record of selling to Line-of-Business and/or AI Practitioners
  • Demonstrated expertise in AI/ML technologies, frameworks, and their practical applications in business
  • Demonstrated expertise matching industry-specific AI use-cases highlighting their strategic relevance across various sectors
  • Strong ability to translate complex technical concepts into business value propositions
  • Proven experience in creating and delivering technical presentations and demonstrations to C-level executives
  • Track record of collaborating with cross-functional teams (e.g., marketing, engineering, product management, channel and solution partners, Customer Experience, etc.) to drive AI initiatives
  • Experience in developing technical GTM strategies and enablement programs for AI solutions
  • Demonstrated ability to influence product roadmaps and strategy based on customer feedback and market trends

Preferred Qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field or equivalent experience. Advanced degree in Data Science is a plus.
  • AI experience working with NVIDIA, AMD, Intel, Google, Microsoft, Amazon, Meta, OpenAI, Anthropic, Groq, and/or other AI vendors
  • Understanding of AI models, including but not limited to GPT (GPT-4, ChatGPT), Gemini, LaMDA, LLaMA, or similar - Hands-on experience in design, development, and deployment of AI models and algorithms is a plus
  • Familiarity with AI-relevant data center infrastructure and networking technologies such as: IB, RoCE, accelerated computing, GPU, DPU, etc.
  • Experience training and fine-tuning LLMs using popular frameworks and tools such as TensorFlow, PyTorch, or Hugging Face Transformers
  • Knowledge of cloud computing platforms and their AI/ML offerings (e.g., AWS, Azure, Google Cloud)
  • Track record of thought leadership through speaking engagements, publications, or patents in the AI/ML field
  • Experience in building and maintaining relationships with AI ecosystem partners (e.g., ISVs, OEMs)
  • Experience in defining and implementing AI solution best practices
  • Strong understanding of cross-architecture integration, particularly in relation to Security, Splunk, and Observability solutions
  • Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment

We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).

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